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Nordic Five Tech - PhD course database
Nordic Five Tech (N5T) is an alliance of the five leading technical universities in Denmark, Finland, Norway and Sweden. N5T has a joint PhD course database where you can search for courses to match your interests and needs.

Courses given by Technology Management and Economics

Quantitative Research Methods

  • Course code: FTEK025
  • Course higher education credits: 7.5
  • Graduate school: Technology Management and Economics
  • Course is normally given: On half-time during study period 4
  • Language: The course will be given in English
  • Nordic Five Tech (N5T): This course is free for PhD students from N5T universities
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Applicants should be enrolled as PhD-students. Priority is given to doctoral students from the department of Technology Management and Economics who, preferably, already attended RTME course.

Purpose of the course

The purpose of this course is to provide participants with necessary knowledge and skills in order to get started in doing quantitative research, but it will not guide you all the way to the finish. The focus is not on the mathematical intricacies, but rather on the following:
  • Ability to read quantitative research in a critical way, especially within your own subject area
  • Basic ideas and underlying assumptions
  • Use and misuse of quantitative research
  • Use of computer software for data analyses

General organization of the course

The course is based on a flipped classroom approach with, typically, one session in class on campus each week, typically on Tuesday afternoons. Before each session, participants should read the assigned literature, view the corresponding videos, and prepare according to instructions. The session itself is used to delve into the topic, thereby creating a more fruitful setting for learning.

Because the examination (see below) as well as the course itself depend fundamentally on the participants continuous activities and involvement, attendance at the sessions is generally mandatory. Hence, if you know beforehand that you will be unable to attend to several sessions, or that you will be unable to work half-time with the course during the entire study period, you should not enroll.

Course Content

The course will cover the following topics:

  • Sampling
  • Data collection
  • Descriptive statistics and t-tests
  • Analysis of variance (ANOVA)
  • Regression analysis
  • Frequency analysis
  • Factor analysis


The examination will include
1. Active participation in the weekly seminars based on written hand-ins.
2. Approved software exercises, which have to be handed in before the end of the course.
3. Approved course paper (expected length: about 3,000 words excluding references) with opposition on two other participants papers. The course paper should include 1) a comprehensive review of how quantitative methods are applied in your own research area, and 2) a general or a specific discussion of how you could (or actually plan to) use quantitative methods in your own PhD research project.

  • Bell, E., Harley, B. & Bryman, A. (2022). Business Research Methods. Oxford University Press. Only part 2 of the book (chapters 8-16) that contains the material concerned with quantitative research will be covered here, although all students are assumed to be familiar with the contents of part 1 that discusses the research process in general. Earlier editions of the book are OK to use but note that the chapter numbering varies among editions. The book can easily be found online in various formats.
  • Articles, videos, and other online material through Canvas.
Examiner Professor Björn Lantz (
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Page manager Published: Wed 28 Apr 2021.